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plot_pca_iris.rst.txt
0], X_reduced[:, 1], X_reduced[:, 2], c=iris.target,...GENERATED FROM PYTHON SOURCE LINES 102-105 PCA will create 3 new features...scikit-learn.org/stable/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt -
target_encoder_cross_validation.svg
Text is not SVG - cannot display 0...scikit-learn.org/stable/_images/target_encoder_cross_validation.svg -
Version 0.19 — scikit-learn 1.8.0 documentation
Regressions in 0.19.0 fixed in 0.19.1: Fixed a bug where...Update Sphinx-Gallery from 0.1.4 to 0.1.7 for resolving links in...scikit-learn.org/stable/whats_new/v0.19.html -
Version 1.3 — scikit-learn 1.8.0 documentation
Version 1.3.1 # September 2023 Changed models...parameter p is in the range 0 < p < 1 , regardless of the dtype...scikit-learn.org/stable/whats_new/v1.3.html -
Older Versions — scikit-learn 1.8.0 documentation
1 Meng Xinfan 1 Rob Zinkov 1 Shiqiao 1 Udi Weinsberg 1 Virgile...Versions # Version 0.12.1 # October 8, 2012 The 0.12.1 release is a...scikit-learn.org/stable/whats_new/older_versions.html -
neighbors.rst.txt
1., 0., 0., 0.], [0., 0., 0., 1., 1., 0.], [0., 0., 0., 1.,...array([[1., 1., 0., 0., 0., 0.], [1., 1., 0., 0., 0., 0.], [0., 1.,...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
check_estimator — scikit-learn 1.8.0 documentation
scikit-learn 1.6 Release Highlights for scikit-learn 1.6 On this...specific category. Added in version 1.6. expected_failed_checks dict,...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html -
Version 0.15 — scikit-learn 1.8.0 documentation
Ben-Meshulam 1 Yury V. Zaytsev 1 adrinjalali 1 ai8rahim 1 alemagnani 1 alex...jamestwebber 1 matrixorz 1 popo 1 samuela 1 François Boulogne 1 Alexander...scikit-learn.org/stable/whats_new/v0.15.html -
ensemble.rst.txt
array([0.107, 0.105, 0.113, 0.0987, 0.0947, 0.107, 0.0916, 0.0972,...= [[1, 0], ... [1, 0], ... [1, 0], ... [0, 1]] >>> y = [0, 0,...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
compute_class_weight — scikit-learn 1.8.0 docum...
compute_class_weight >>> y = [ 1 , 1 , 1 , 1 , 0 , 0 ] >>> compute_class_weight...unique ( y ), y = y ) array([1.5 , 0.75]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_class_weight.html
